Publications

Landahl, Andrew J.; Russo, Antonio R.; Van Der Wall, Jay W.; Rudinger, Kenneth M.; Maupin, Oliver G.; Lobser, Daniel L.; Chow, Matthew N.; Morrison, Benjamin M.; Clark, Susan M.

Abstract not provided.

Physical Review A

Russo, Antonio R.; Kirby, William M.; Rudinger, Kenneth M.; Baczewski, Andrew D.; Kimmel, Shelby

We present an extension to the robust phase estimation protocol, which can identify incorrect results that would otherwise lie outside the expected statistical range. Robust phase estimation is increasingly a method of choice for applications such as estimating the effective process parameters of noisy hardware, but its robustness is dependent on the noise satisfying certain threshold assumptions. We provide consistency checks that can indicate when those thresholds have been violated, which can be difficult or impossible to test directly. We test these consistency checks for several common noise models, and identify two possible checks with high accuracy in locating the point in a robust phase estimation run at which further estimates should not be trusted. One of these checks may be chosen based on resource availability, or they can be used together in order to provide additional verification.

Russo, Antonio R.; Rudinger, Kenneth M.; Morrison, Benjamin M.; Baczewski, Andrew D.

Abstract not provided.

Lobser, Daniel L.; Blain, Matthew G.; Haltli, Raymond A.; Hogle, Craig W.; Landahl, Andrew J.; Morrison, Benjamin M.; Revelle, Melissa R.; Rudinger, Kenneth M.; Russo, Antonio R.; Ruzic, Brandon R.; Stick, Daniel L.; Van Der Wall, Jay W.; Yale, Christopher G.; Clark, Susan M.

Abstract not provided.

Quantum Science and Technology

Nielsen, Erik N.; Rudinger, Kenneth M.; Proctor, Timothy J.; Russo, Antonio R.; Young, Kevin; Blume-Kohout, Robin J.

PyGSTi is a Python software package for assessing and characterizing the performance of quantum computing processors. It can be used as a standalone application, or as a library, to perform a wide variety of quantum characterization, verification, and validation (QCVV) protocols on as-built quantum processors. We outline pyGSTi's structure, and what it can do, using multiple examples. We cover its main characterization protocols with end-to-end implementations. These include gate set tomography, randomized benchmarking on one or many qubits, and several specialized techniques. We also discuss and demonstrate how power users can customize pyGSTi and leverage its components to create specialized QCVV protocols and solve user-specific problems.

Rudinger, Kenneth M.; Morrison, Benjamin M.; Russo, Antonio R.

Abstract not provided.

Russo, Antonio R.

Abstract not provided.

Nielsen, Erik N.; Proctor, Timothy J.; Rudinger, Kenneth M.; Russo, Antonio R.; Young, Kevin C.; Blume-Kohout, Robin J.

Abstract not provided.

Morrison, Benjamin M.; Landahl, Andrew J.; Lobser, Daniel L.; Rudinger, Kenneth M.; Russo, Antonio R.; Van Der Wall, Jay W.; Maunz, Peter L.

Abstract not provided.

Maunz, Peter L.; Blain, Matthew G.; Clark, Susan M.; Landahl, Andrew J.; Lobser, Daniel L.; Morrison, Benjamin M.; Pehr, Jessica M.; Revelle, Melissa R.; Rudinger, Kenneth M.; Russo, Antonio R.; Ruzic, Brandon R.; Yale, Christopher G.

Abstract not provided.

Russo, Antonio R.; Baczewski, Andrew D.; Rudinger, Kenneth M.

Abstract not provided.

Russo, Antonio R.; Baczewski, Andrew D.; Morrison, Benjamin M.; Rudinger, Kenneth M.

Abstract not provided.